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Evolving Metadata Standards for Datasets: Insights from the California Digital Library

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In June 2012, Joan Starr reviewed the evolving metadata standards at the California Digital Library (CDL). This brief highlights essential elements for dataset description, emphasizing the importance of persistent identifiers such as DOIs and ARKs. The introduction of DataCite and the EZID tool aids in the management and distribution of research datasets. Key updates include new additions to controlled lists and a discussion on the granularity of identifiers. Discover how these changes enhance dataset accessibility and reliability in academic research.

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Evolving Metadata Standards for Datasets: Insights from the California Digital Library

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  1. Metadata Standards for Data Second thoughts about Joan Starr California Digital Library June, 2012 @joan_starr

  2. Our roadmap A brief January recap What’s new? Special focus: DOI’s & ARKs By I likehttp://www.flickr.com/photos/ilike/1174736310/

  3. California Digital Library (CDL)

  4. Back in January… • Requirements for dataset description • Common element: long-term identifier, e.g. DOIs • A organization for promoting DOIs for datasets: DataCite • A tool for creating & managing: EZID • Metadata for describing datasets

  5. What is new? • Requirements for dataset description • Common element: persistent identifier, e.g. DOIs • A organization for promoting DOIs for datasets: DataCite • A tool for creating & managing: EZID • Metadata for describing datasets

  6. EZID: long-term identifiers made easy take control of the management and distribution of your research, share and get credit for it, and build your reputation through its collection and documentation

  7. http://n2t.net/ezid

  8. http://n2t.net/ezid

  9. http://n2t.net/ezid

  10. http://n2t.net/ezid

  11. http://n2t.net/ezid

  12. http://n2t.net/ezid

  13. http://n2t.net/ezid

  14. http://n2t.net/ezid

  15. http://n2t.net/ezid

  16. DataCite Metadata 3.0 Update • ISO 26324:2012: DOI • Dublin Core Application Profile • A few new additions to controlled lists… • ¿additions to the description of dataset? • Collection time • Collection geo-location

  17. DOIs and ARKs • both can work like regular hyperlinks. • both can refer to a subset or portion of a resource. • both become persistentwhen the target URL is maintained. http://content.cdlib.org/ark:/13030/tf0v19n605/, courtesy of UC Davis Special Collections

  18. DOIs vsARKs • Case sensitive • Special feature supports granularity • Informative • Less costly

  19. DOIs vsARKs: suffix pass-through • string: ark:/99999/Big4 • /* “suffix” “prefix” • /* • location: http://x.y.z/foo/Big4/db

  20. DOIs vsARKs: suffix pass-through • string: ark:/99999/Big4 • /table/cell/45-8.txt • location: http://x.y.z/foo/Big4/db • /table/cell/45-8.txt

  21. DOIsvs ARKs • Established brand in publishing • Indexed by major A&I citation databases  • Cannot be deleted • More costly

  22. Plays well with others….

  23. For more information EZID EZID: http://n2t.net/ezid/ EZID on Twitter: @ezidCDL DataCite DataCite: http://datacite.org/ DataCite Search: http://search.datacite.org Joan Starr: uc3@ucop.edu@joan_starr

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